Abstract
Image segmentation is of great importance in the fields of computer vision, face recognition, medical imaging, digital libraries, and video retrieval. This paper presents a novel method for image segmentation based on a Hybrid particle swarm algorithm, which combines the advantages of swarm intelligence and the natural selection mechanism of artificial bee colony algorithm. Experimental results show that the proposed method can reach a higher quality adequate segmentation, reduce the CPU processing time and eliminate the particles falling into local minima.
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Liu, Y., Hu, K., Zhu, Y., Chen, H. (2014). A Novel Method for Image Segmentation Based on Nature Inspired Algorithm. In: Huang, DS., Han, K., Gromiha, M. (eds) Intelligent Computing in Bioinformatics. ICIC 2014. Lecture Notes in Computer Science(), vol 8590. Springer, Cham. https://doi.org/10.1007/978-3-319-09330-7_46
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DOI: https://doi.org/10.1007/978-3-319-09330-7_46
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09329-1
Online ISBN: 978-3-319-09330-7
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